| Title |
Type |
Location |
Serial |
Start |
End |
All Day |
|
|
Re-Exam Inspection |
Exam |
E1 3, Lecture Hall 002 |
|
16.03.27 |
16.03.27 |
No |
|
|
Re-Exam |
Exam |
Multiple lecture halls |
|
09.03.27 |
09.03.27 |
No |
|
|
Main Exam Inspection |
Exam |
E1 3, Lecture Hall 002 |
|
25.02.27 |
25.02.27 |
No |
|
|
Main Exam |
Exam |
Multiple lecture halls |
|
18.02.27 |
18.02.27 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
2 |
04.02.27 |
04.02.27 |
No |
|
|
Project 4: Q-Learning |
Programming Project |
|
|
21.01.27 |
04.02.27 |
No |
|
|
Exam Preparation |
Lecture |
E1 3, Lecture Hall 002 |
|
02.02.27 |
02.02.27 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
2 |
28.01.27 |
28.01.27 |
No |
|
|
Guest Lecture: LLMs in Symbolic Planning |
Lecture |
E1 3, Lecture Hall 002 |
|
28.01.27 |
28.01.27 |
No |
|
|
Trusted AI: Action Policies |
Lecture |
E1 3, Lecture Hall 002 |
|
26.01.27 |
26.01.27 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
2 |
21.01.27 |
21.01.27 |
No |
|
|
Project 3: Supervised Learning |
Programming Project |
|
|
07.01.27 |
21.01.27 |
No |
|
|
Trusted AI: Action Policies |
Lecture |
E1 3, Lecture Hall 002 |
|
21.01.27 |
21.01.27 |
No |
|
|
Games II: Learning |
Lecture |
E1 3, Lecture Hall 002 |
|
19.01.27 |
19.01.27 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
2 |
14.01.27 |
14.01.27 |
No |
|
|
Games I: Search |
Lecture |
E1 3, Lecture Hall 002 |
|
14.01.27 |
14.01.27 |
No |
|
|
MDPs III: Reinforcement Learning & Games I: Search |
Lecture |
E1 3, Lecture Hall 002 |
|
12.01.27 |
12.01.27 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
2 |
07.01.27 |
07.01.27 |
No |
|
|
MDPs III: Reinforcement Learning |
Lecture |
E1 3, Lecture Hall 002 |
|
07.01.27 |
07.01.27 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
1 |
17.12.26 |
17.12.26 |
No |
|
|
Project 2: PDB Heuristics |
Programming Project |
|
|
03.12.26 |
17.12.26 |
No |
|
|
Midterm Exam Inspection |
Exam |
E1 3, Lecture Hall 002 |
|
17.12.26 |
17.12.26 |
No |
|
|
MDPs II: Probabilistic Planning & PDBs |
Lecture |
E1 3, Lecture Hall 002 |
|
15.12.26 |
15.12.26 |
No |
|
|
Midterm Exam |
Exam |
Multiple lecture halls |
|
14.12.26 |
14.12.26 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
1 |
10.12.26 |
10.12.26 |
No |
|
|
MDPs I: Introduction & Heuristic Search |
Lecture |
E1 3, Lecture Hall 002 |
|
10.12.26 |
10.12.26 |
No |
|
|
MDPs I: Introduction & Heuristic Search |
Lecture |
E1 3, Lecture Hall 002 |
|
08.12.26 |
08.12.26 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
1 |
03.12.26 |
03.12.26 |
No |
|
|
Project 1: HMax + HFF Heuristics |
Programming Project |
|
|
19.11.26 |
03.12.26 |
No |
|
|
ML Basics & Symbolic Planning VII: Learning |
Lecture |
E1 3, Lecture Hall 002 |
|
03.12.26 |
03.12.26 |
No |
|
|
ML Basics |
Lecture |
E1 3, Lecture Hall 002 |
|
01.12.26 |
01.12.26 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
1 |
26.11.26 |
26.11.26 |
No |
|
|
Symbolic Planning V: Abstractions & Symbolic Planning VI: Pattern Databases |
Lecture |
E1 3, Lecture Hall 002 |
|
26.11.26 |
26.11.26 |
No |
|
|
Symbolic Planning V: Abstractions |
Lecture |
E1 3, Lecture Hall 002 |
|
24.11.26 |
24.11.26 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
1 |
19.11.26 |
19.11.26 |
No |
|
|
Project 0: Blind & Goal-Count Heuristic |
Programming Project |
|
|
05.11.26 |
19.11.26 |
No |
|
|
Symbolic Planning IV: Delete-Relaxation Heuristics |
Lecture |
E1 3, Lecture Hall 002 |
|
17.11.26 |
17.11.26 |
No |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
1 |
12.11.26 |
12.11.26 |
No |
|
|
Symbolic Planning IV: Delete-Relaxation Heuristics |
Lecture |
E1 3, Lecture Hall 002 |
|
12.11.26 |
12.11.26 |
No |
|
|
Symbolic Planning II: Heuristic Search Basics & Symbolic Planning III: Critical-Path Heuristics |
Lecture |
E1 3, Lecture Hall 002 |
|
10.11.26 |
10.11.26 |
No |
|
|
Tutorials (Chapters 3 and 4) |
Tutorials |
E1 1, 3.06 |
|
02.11.26 |
N/A |
Yes |
|
|
Office Hour |
Office Hour |
E1 1, 3.06 |
1 |
05.11.26 |
05.11.26 |
No |
|
|
Introduction to the programming projects |
Demo |
TBD |
|
05.11.26 |
05.11.26 |
No |
|
|
Symbolic Planning I: Formalisms & Symbolic Planning II: Heuristic Search Basics |
Lecture |
E1 3, Lecture Hall 002 |
|
05.11.26 |
05.11.26 |
No |
|
|
Symbolic Planning I: Formalisms |
Lecture |
E1 3, Lecture Hall 002 |
|
03.11.26 |
03.11.26 |
No |
|
|
Search III: Sparse Search |
Lecture |
E1 3, Lecture Hall 002 |
|
29.10.26 |
29.10.26 |
No |
|
|
Search II: Heuristic Search & Search III: Sparse Search |
Lecture |
E1 3, Lecture Hall 002 |
|
27.10.26 |
27.10.26 |
No |
|
|
Search I: Blind Search & Search II: Heuristic Search |
Lecture |
E1 3, Lecture Hall 002 |
|
22.10.26 |
22.10.26 |
No |
|
|
Search I: Blind Search |
Lecture |
E1 3, Lecture Hall 002 |
|
20.10.26 |
20.10.26 |
No |
|
|
Introduction to AI & A Glimpse of the Omitted Areas |
Lecture |
E1 3, Lecture Hall 002 |
|
15.10.26 |
15.10.26 |
No |
|
|
About this Course |
Lecture |
E1 3, Lecture Hall 002 |
|
13.10.26 |
13.10.26 |
No |
|
